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Make vs n8n: Which Automation Tool Fits Your Business? | Alltomate
⚡ Head-to-Head Comparison

Make vs n8n:
Which One Actually Fits Your Business?

Updated May 2026 10 min read By Miguel Carlos Arao

Both tools build powerful automations — but they make very different tradeoffs on pricing model, technical depth, hosting, and AI capabilities. This comparison focuses on what actually matters when workflows go into production.

💰 Pricing breakdown ⚙️ Workflow logic depth 🔒 Self-hosting vs cloud 🤖 AI capabilities 🚨 Failure points
Make
Visual & No-Code
VS
n8n
Code-First & Open-Source

📋 What This Comparison Covers

01 Quick Verdict: Make vs n8n 02 Pricing: Credits vs Executions 03 Workflow Logic & Structure 04 Integrations & App Coverage 05 Hosting & Data Control 06 AI & Agent Capabilities 07 Use Cases: Which Wins by Scenario 08 How to Decide: Side-by-Side 09 Frequently Asked Questions
Quick Verdict

The Short Answer — Before the Details

Make and n8n are closer competitors than Zapier and Make. Both offer visual workflow builders and handle complex logic. The real split is technical depth, hosting control, and pricing model — not features.

✓ Choose Make if…

  • →Your team is non-technical and needs a polished no-code experience
  • →You want the largest pre-built integration library (3,000+ apps)
  • →Workflows are complex but don't require custom code
  • →You need managed cloud hosting with minimal ops overhead
  • →Visual debugging and scenario organization matter to your team

✓ Choose n8n if…

  • →You need full data ownership or self-hosted deployment
  • →Workflows are step-heavy and execution-based pricing saves money
  • →Your team can write JavaScript for custom logic
  • →You're building AI agents with LangChain, RAG, or multi-LLM routing
  • →You need GDPR/compliance-grade data residency control
How this page differs from our three-platform guide: This comparison focuses exclusively on Make vs n8n. If you're also evaluating Zapier or want a broader view of the automation landscape — including where Zapier outperforms both — see our full three-platform comparison, which covers all three tools against each other.
Pricing

Credits vs Executions: A Fundamentally Different Model

Make and n8n charge for automation in completely different ways. Make charges per module (each step in a scenario). n8n charges per workflow run — regardless of how many steps it contains. This single difference determines which is cheaper for your specific workflows.

🔀 Make Pricing (2026)

Free$0 / 1,000 credits/mo
Core~$9 / 10,000 credits/mo
Pro~$16 / 10,000 credits/mo
Teams~$29 / 10,000 credits/mo
EnterpriseCustom high volume

As of November 2025, Make transitioned from "operations" to a credit-based model. Each module execution typically consumes 1 credit. AI modules and high-data-volume steps may consume more. Credits do not roll over. Annual billing applies.

⚙️ n8n Pricing (2026)

Community (Self-hosted)Free unlimited executions
Cloud Starter~$24 / 2,500 executions/mo
Cloud Pro~$60 / 10,000 executions/mo
Business (Self-hosted)~$667 / 40,000 executions/mo
EnterpriseCustom unlimited

1 execution = 1 full workflow run, regardless of step count. A 20-step workflow costs the same as a 2-step one. Self-hosted Community Edition is 100% free with unlimited executions. Annual billing saves ~17%. Prices shown in USD approximations (n8n prices in EUR).

The Step-Count Advantage of n8n If you run a 10-step workflow 500 times per month: Make consumes 5,000 credits (half your Core plan). n8n Cloud consumes 500 executions (well within the Starter plan). For complex multi-step workflows, n8n's per-execution model can be 3–5x cheaper than Make's per-module model at equivalent volume.
Pricing Factor Make n8n
Billing Unit Credit (per module per run) Execution (per workflow run)
Free Tier 1,000 credits/mo (cloud) n8n wins Unlimited (self-hosted Community)
Entry Cloud Plan ~$9/mo (Core) Make wins ~$24/mo (Starter)
Cost for Complex Workflows Credits compound per step Flat per run — scales better n8n wins
Self-Hosting Not available — cloud only Free Community Edition n8n wins
Overage Handling Scenarios pause at credit limit Workflows pause at execution limit
Annual Savings Varies by plan ~17% on cloud plans Tie
Workflow Logic

How Each Platform Structures Your Automations

Both Make and n8n use a visual node-based canvas. The difference is depth: Make is optimized for non-developers, while n8n exposes code-level control within the same interface.

Logic Capability Make n8n
Interface Visual drag-and-drop canvas Node-based canvas (denser, more powerful)
Conditional Branching Routers with multiple paths IF nodes, Switch nodes, advanced conditionals
Loops / Iterators Native Iterator + Aggregator modules Loop Over Items node, native looping
Custom Code Code app (Python/JS) on paid plans Native JavaScript/Python nodes, all plans
Error Handling Per-module error handlers Error trigger workflows + retry logic
Data Transformation Built-in parsers, JSON/array tools Code nodes for unlimited transformation
Scheduling Flexible scheduling + webhooks Cron, webhooks, event triggers
Sub-workflows Scenario chaining Callable workflows (sub-workflow node)
Debugging Visual execution path per module Execution log with node-level inputs/outputs
Version Control Scenario history Git integration (Business plan)

Logic Depth Score (our assessment)

Make — Ease of setupLow learning curve
Make — Complex logic (no-code)Strong ceiling
n8n — Ease of setupTechnical users only
n8n — Complex logic (with code)Virtually unlimited
Integrations

App Coverage: Breadth vs Extensibility

Make has a significantly larger native app catalog. n8n has fewer pre-built nodes but gives developers the tools to connect to anything — including custom and legacy systems that no SaaS platform will ever officially support.

Integration Aspect Make n8n
Native App Count 3,000+ apps Make wins 500+ native nodes
Custom API (HTTP) HTTP module on all plans HTTP Request node (advanced) n8n wins
Custom Code Nodes Python/JS on paid plans Native on all plans n8n wins
Community Extensions Template library Community nodes (self-hosted) n8n wins
Popular SaaS Tools HubSpot, Salesforce, Slack, Shopify ✓ HubSpot, Salesforce, Slack, Shopify ✓ Tie
Legacy / Internal Systems HTTP module only Custom nodes + full code access n8n wins
Time-to-Connect (mainstream SaaS) Faster — pre-built modules Make wins May require more manual setup
Our take on integration count: Make's 3,000+ catalog is a genuine advantage for teams using mainstream SaaS tools. But n8n's HTTP Request node and custom JavaScript mean it can reach anything with an API — including internal tools, proprietary databases, and systems Make will never officially support.
Hosting & Data Control

Cloud-Only vs Full Infrastructure Control

This is one of the most significant differentiators between the two platforms — and a deciding factor for any team working in regulated industries or with sensitive data.

Make: Cloud-Only

  • →Fully managed cloud — no infrastructure to maintain
  • →SOC 2 and GDPR compliant on Make's servers
  • →Cannot self-host — all data processed on Make's infrastructure
  • →No data residency control — depends on Make's server regions
  • →Easiest to get started — no DevOps required

n8n: Cloud or Self-Hosted

  • →Free Community Edition runs on your own server
  • →Full data sovereignty — nothing leaves your infrastructure
  • →Cloud option available at $24–$60/mo for managed hosting
  • →Ideal for GDPR, HIPAA, financial, or government workflows
  • →Self-hosting requires VPS setup (~$5–15/mo in infrastructure)
Hosting Factor Make n8n
Self-hosting Not available Free Community Edition
Data residency Make's servers (SOC 2 / GDPR) Your servers — full control
Setup complexity Zero — fully managed Low–medium (VPS + Docker)
Ongoing maintenance None 1–2 hours/month self-hosted
Cost at zero volume $0 (free tier, limited) $0 (self-hosted Community)
Regulated industries Possible but limited control Preferred — full data control
Bottom line on hosting: If data control doesn't matter to you and you want zero ops overhead, Make is the simpler choice. If you need to keep workflow data on your own infrastructure — for compliance, security, or cost at high volume — n8n self-hosted is the only option among these two.
AI Capabilities

AI & Agents: A Growing Gap in 2026

Both platforms support AI integrations, but they take very different approaches. n8n has built a dedicated AI architecture for agentic workflows, while Make connects to AI APIs through standard pre-built modules.

AI Capability Make n8n
OpenAI / Claude integration Pre-built modules ✓ Pre-built nodes + custom ✓ Tie
AI Agent nodes Make AI agents (developing) n8n wins Dedicated AI Agent node + tool-routing
LangChain support Not available Native LangChain integration n8n wins
RAG / Vector stores Not native Supported via LangChain nodes n8n wins
Multi-LLM routing Manual per-module setup AI Agent decides tools at runtime n8n wins
Memory across runs Manual via external storage Memory nodes (session/buffer) n8n wins
Non-developers building AI flows Easier with pre-built modules Make wins Requires more technical setup
Our take on AI: For teams building AI-powered automations — chatbots, document agents, autonomous pipelines, or RAG systems — n8n's agent architecture is materially ahead in 2026. Make is catching up but remains better suited for teams connecting to AI APIs as part of traditional workflows, not building full AI agent systems.
Use Cases

Which Wins by Real Business Scenario

The best way to evaluate these tools isn't feature lists — it's matching their execution models to real workflow types. Here's how each performs across common business scenarios.

🏷️

Lead Routing with Conditions

Score lead → branch by industry, deal size, or source → assign to rep → trigger sequence

✓ Make wins — faster to build visually
🤖

AI-Powered Document Processing

Upload doc → AI extracts fields → validate → route for approval → update records

✓ n8n wins — AI agent architecture
🛒

E-commerce Order Processing

New order → check inventory → branch by stock level → notify fulfillment → log revenue

✓ Make wins — pre-built Shopify modules
🔒

HIPAA / Regulated Data Workflows

Patient intake form → process data → route internally → store results securely

✓ n8n wins — self-hosted data control
📊

Data Aggregation & Reporting

Pull from multiple sources → transform → merge → push to BI tool or Google Sheets

≈ Tie — both handle well
🧠

AI Chatbot / Agent Workflow

User message → AI agent decides tools → queries DB or API → returns intelligent response

✓ n8n wins — LangChain + tool routing
🔗

Legacy System Integration

Connect internal ERP or custom API to modern SaaS tools with custom transformation logic

✓ n8n wins — custom nodes + code
📣

Marketing Automation (No-Code Team)

New subscriber → tag in CRM → enroll in sequence → send Slack alert

✓ Make wins — no-code friendly
Not sure which applies to you? If your team is non-technical and relies on mainstream SaaS tools, Make will get you live faster with less friction. If you need data control, custom logic, or are building AI-powered systems, n8n will serve you better — especially at scale.
Final Decision

The Side-by-Side You've Been Waiting For

Based on our hands-on work building automation systems across marketing, e-commerce, HR, and technical operations — here's the honest breakdown.

Make is the better choice when:

  • →Your team is non-technical and needs a clean, guided no-code interface
  • →You rely heavily on mainstream SaaS tools with pre-built modules
  • →You want complex visual workflows without writing any code
  • →Managed cloud hosting and zero ops overhead is a priority
  • →You run many short workflows where per-module pricing stays manageable

n8n is the better choice when:

  • →You need full data ownership or self-hosted deployment for compliance
  • →Your workflows are step-heavy and execution-based pricing saves money
  • →You're building AI agents with LangChain, RAG, or tool-routing logic
  • →You need custom JavaScript logic or connect to proprietary/legacy systems
  • →You want version control (Git) and enterprise-grade workflow governance
Factor Make n8n
Ease of use⭐⭐⭐⭐⭐ Excellent⭐⭐⭐ Technical users
Workflow complexity⭐⭐⭐⭐ High (no-code)⭐⭐⭐⭐⭐ Virtually unlimited
Pricing (simple flows)⭐⭐⭐⭐ Good value⭐⭐⭐ Higher cloud entry
Pricing (complex flows)⭐⭐⭐ Credits compound⭐⭐⭐⭐⭐ Flat per execution
Native app count⭐⭐⭐⭐⭐ 3,000+⭐⭐⭐ 500+ (extensible)
Self-hosting / data control⭐ Cloud only⭐⭐⭐⭐⭐ Full control
AI agent capabilities⭐⭐⭐ Growing⭐⭐⭐⭐⭐ LangChain + RAG
Error handling⭐⭐⭐⭐ Per-module routes⭐⭐⭐⭐ Error trigger workflows
Best forNo-code, visual, SaaS-heavyTechnical, compliant, AI-first
Still evaluating Zapier? If you're not sure whether Zapier belongs in the conversation, our Zapier vs Make comparison covers the simpler end of the spectrum. For all three tools head-to-head, see the full three-platform breakdown.
FAQ

Frequently Asked Questions

The most common questions we get when clients are deciding between Make and n8n.

Is Make cheaper than n8n? +
It depends on workflow complexity. Make's Core plan starts at ~$9/month, which is lower than n8n Cloud's $24/month Starter. But n8n charges per execution (one full workflow run), while Make charges per module (each step). A 10-step workflow running 500 times costs Make 5,000 credits vs. n8n just 500 executions. For complex workflows, n8n is often 3–5x cheaper on cloud — and free if self-hosted.
Can n8n fully replace Make? +
For technical teams, largely yes. n8n can replicate Make's visual workflows and go further with custom code. The main reason to stay on Make is if your team is non-technical, you rely on apps that only have Make-native modules, or you want a managed cloud experience without any infrastructure management.
Which is better for non-technical users? +
Make is substantially better for non-technical users. Its polished drag-and-drop interface, guided module configuration, and pre-built templates mean most non-developers can build and maintain workflows without understanding APIs or JSON. n8n's interface is powerful but assumes familiarity with API concepts, data structures, and sometimes JavaScript.
Can n8n be self-hosted for free? +
Yes. n8n's Community Edition is open-source and completely free to self-host, with unlimited executions and all core integrations. You only pay for server infrastructure — typically $5–15/month on a VPS. Make cannot be self-hosted at all; it is exclusively a cloud SaaS platform.
Which has better AI agent capabilities in 2026? +
n8n has a materially stronger AI architecture in 2026. It includes dedicated AI Agent nodes, native LangChain integration, RAG support, vector store connectivity, and multi-LLM tool routing — meaning an AI can decide which tools to call based on incoming data. Make supports OpenAI and other AI APIs through pre-built modules but lacks the agentic orchestration layer that n8n has built natively.
Does n8n have more integrations than Make? +
No — Make has a larger native integration catalog with 3,000+ pre-built apps vs. n8n's 500+ native nodes. However, n8n's HTTP Request node and custom JavaScript support mean it can connect to virtually any system with an API, including proprietary and legacy tools that no automation platform will ever officially support.
Which is better for regulated industries (HIPAA, GDPR)? +
n8n self-hosted is the clear choice for regulated industries. Because you deploy it on your own infrastructure, your workflow data never leaves your environment. Make is GDPR and SOC 2 compliant but processes all data on Make's servers — you have no control over data residency, which can be a blocker for healthcare, financial services, or government workflows.

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